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Reinforcement Learning

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/GFNOrg/dt-gfn

공식 코드

Learning Decision Trees as Amortized Structure Inference

https://github.com/GIOVRUSSO/Control-Group-Code

공식 코드

Driving Reinforcement Learning with Models

https://github.com/GMU-vision-robotics/View-Invariant-Visual-Servoing-for-Navigation

공식 코드

Learning View and Target Invariant Visual Servoing for Navigation

https://github.com/GPaolo/taxons

공식 코드

Unsupervised Learning and Exploration of Reachable Outcome Space

https://github.com/GauravPandeyLab/lens-learning-ensembles-using-reinforcement-learning

공식 코드

Developing parsimonious ensembles using predictor diversity within a reinforcement learning framework

https://github.com/GeorgeDu/vision-based-robotic-grasping

공식 코드

Vision-based Robotic Grasping From Object Localization, Object Pose Estimation to Grasp Estimation for Parallel Grippers: A Review

https://github.com/GhadaSokar/Dynamic-Sparse-Training-for-Deep-Reinforcement-Learning

공식 코드

Dynamic Sparse Training for Deep Reinforcement Learning

https://github.com/GianlucaMaragliano/Adversarial_RL_XSS

공식 코드

XSS Adversarial Attacks Based on Deep Reinforcement Learning: A Replication and Extension Study

https://github.com/Golchoubian/UncertaintyAware_DRL_CrowdNav

공식 코드

Uncertainty-Aware DRL for Autonomous Vehicle Crowd Navigation in Shared Space

https://github.com/GonQue/gbac

공식 코드

Learning to Perceive in Deep Model-Free Reinforcement Learning

https://github.com/Gongzhu-Society/MrIfOffline

공식 코드

ScrofaZero: Mastering Trick-taking Poker Game Gongzhu by Deep Reinforcement Learning

https://github.com/GoodAI/torchsim

공식 코드

ToyArchitecture: Unsupervised Learning of Interpretable Models of the World

https://github.com/Gp1g/RFL

공식 코드

FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning

https://github.com/GraphNAS/GraphNAS-simple

공식 코드

GraphNAS: Graph Neural Architecture Search with Reinforcement Learning

https://github.com/Grottoh/Deep-Active-Inference-for-Partially-Observable-MDPs

공식 코드

Deep Active Inference for Partially Observable MDPs

https://github.com/GuanSuns/ASGRL

공식 코드

Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity

https://github.com/GuetYe/DRL-M4MR

공식 코드

DRL-M4MR: An Intelligent Multicast Routing Approach Based on DQN Deep Reinforcement Learning in SDN

https://github.com/GuoLanqing/ReLLIE

공식 코드

ReLLIE: Deep Reinforcement Learning for Customized Low-Light Image Enhancement

https://github.com/HDFengChina/How-to-Control-Hydrodynamic-Force

공식 코드

How to Control Hydrodynamic Force on Fluidic Pinball via Deep Reinforcement Learning

https://github.com/HIT-SMC/DRL_solver

공식 코드

General solutions for nonlinear differential equations: a rule-based self-learning approach using deep reinforcement learning

https://github.com/HLTCHKUST/sensational_headline

공식 코드

Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning

https://github.com/HTRPOCODES/HTRPO-v2

공식 코드

Hindsight Trust Region Policy Optimization

https://github.com/Haichao-Zhang/generative-planning

공식 코드

Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning

https://github.com/Haipeng-Chen/RL4IM-Contingency

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Contingency-Aware Influence Maximization: A Reinforcement Learning Approach

https://github.com/HanGyojin/RLB-MI

공식 코드

Reinforcement Learning-Based Black-Box Model Inversion Attacks

https://github.com/Hananel-Hazan/bindsnet

공식 코드

BindsNET: A machine learning-oriented spiking neural networks library in Python

https://github.com/Hanjun-Dai/graph_comb_opt

공식 코드

Learning Combinatorial Optimization Algorithms over Graphs

https://github.com/HaozheJasper/CBRL_KDD22

공식 코드

ROI-Constrained Bidding via Curriculum-Guided Bayesian Reinforcement Learning

https://github.com/HarrieO/RankingComplexLayouts

공식 코드

Ranking for Relevance and Display Preferences in Complex Presentation Layouts

https://github.com/Harry67Hu/CORY

공식 코드

Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement Learning

https://github.com/Healthcare-Robotics/assistive-gym

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Assistive Gym: A Physics Simulation Framework for Assistive Robotics

https://github.com/HendrikPN/reinforced_scinet

공식 코드

Operationally meaningful representations of physical systems in neural networks

https://github.com/HeyuanMingong/llirl

공식 코드

Lifelong Incremental Reinforcement Learning with Online Bayesian Inference

https://github.com/Hhhhhhhhhhao/Thin-Structure-Inpainting

공식 코드

Blind Inpainting of Large-scale Masks of Thin Structures with Adversarial and Reinforcement Learning

https://github.com/Hisato-Komatsu/DLS-DDPG

공식 코드

Application of linear regression method to the deep reinforcement learning in continuous action cases

https://github.com/HjalmarWijk/bounded-prescience

공식 코드

Shielding Atari Games with Bounded Prescience

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